Live-Life cycle assessment of the electric propulsion ship using solar PV

2022 ◽  
Vol 309 ◽  
pp. 118477
Author(s):  
Chybyung Park ◽  
Byongug Jeong ◽  
Peilin Zhou ◽  
Hayoung Jang ◽  
Seongwan Kim ◽  
...  
IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 111828-111839 ◽  
Author(s):  
M. A. Parvez Mahmud ◽  
Nazmul Huda ◽  
Shahjadi Hisan Farjana ◽  
Candace Lang

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2432 ◽  
Author(s):  
Qiang Zhai ◽  
Linsen Zhu ◽  
Shizhou Lu

This study presents a life cycle assessment (LCA) study for a buoy-rope-drum (BRD) wave energy converter (WEC), so as to understand the environmental performance of the BRD WEC by eco-labeling its life cycle stages and processes. The BRD WEC was developed by a research group at Shandong University (Weihai). The WEC consists of three main functional modules including buoy, generator and mooring modules. The designed rated power capacity is 10 kW. The LCA modeling is based on data collected from actual design, prototype manufacturing, installation and onsite sea test. Life cycle inventory (LCI) analysis and life cycle impact analysis (LCIA) were conducted. The analyses show that the most significant environmental impact contributor is identified to be the manufacturing stage of the BRD WEC due to consumption of energy and materials. Potential improvement approaches are proposed in the discussion. The LCI and LCIA assessment results are then benchmarked with results from reported LCA studies of other WECs, tidal energy converters, as well as offshore wind and solar PV systems. This study presents the energy and carbon intensities and paybacks with 387 kJ/kWh, 89 gCO2/kWh, 26 months and 23 months respectively. The results show that the energy and carbon intensities of the BRD WEC are slightly larger than, however comparable, in comparison with the referenced WECs, tidal, offshore wind and solar PV systems. A sensitivity analysis was carried out by varying the capacity factor from 20–50%. The energy and carbon intensities could reach as much as 968 kJ/kWh and 222 gCO2/kWh respectively while the capacity factor decreasing to 20%. Limitations for this study and scope of future work are discussed in the conclusion.


2019 ◽  
Vol 8 (2) ◽  
pp. 113 ◽  
Author(s):  
Md. Mustafizur Rahman ◽  
Chowdhury Sadid Alam ◽  
TM Abir Ahsan

Life cycle assessment (LCA) is an extremely useful tool to assess the environmental impacts of a solar photovoltaic system throughout its entire life. This tool can help in making sustainable decisions. A solar PV system does not have any operational emissions as it is free from fossil fuel use during its operation. However, considerable amount of energy is used to manufacture and transport the components (e.g. PV panels, batteries, charge regulator, inverter, supporting structure, etc.) of the PV system. This study aims to perform a comprehensive and independent life cycle assessment of a 3.6 kWp solar photovoltaic system in Bangladesh. The primary energy consumption, resulting greenhouse gas (GHG) emissions (CH4, N2O, and CO2), and energy payback time (EPBT) were evaluated over the entire life cycle of the photovoltaic system. The batteries and the PV modules are the most GHG intensive components of the system. About 31.90% of the total energy is consumed to manufacture the poly-crystalline PV modules. The total life cycle energy use and resulting GHG emissions were found to be 76.27 MWhth and 0.17 kg-CO2eq/kWh, respectively. This study suggests that 5.34 years will be required to generate the equivalent amount of energy which is consumed over the entire life of the PV system considered. A sensitivity analysis was also carried out to see the impact of various input parameters on the life cycle result. The other popular electricity generation systems such as gas generator, diesel generator, wind, and Bangladeshi grid were compared with the PV system. The result shows that electricity generation by solar PV system is much more environmentally friendly than the fossil fuel-based electricity generation. ©2019. CBIORE-IJRED. All rights reserved


2019 ◽  
Vol 122 ◽  
pp. 02005
Author(s):  
Anushka Pal ◽  
Jeff Kilby

The paper presents research that investigated the Life Cycle Assessment of multi-crystalline photovoltaic (PV) panels, by considering environmental impacts of the entire life cycle for any solar PVsystems. The overall manufacturing process of a solar PV panel ranging from silica extraction, crystalline silicon ingot growth, wavering to module fabrication and packing of the solar PV panel. The results from this research showed that the module assembly and cell processing of the manufacturing process contributed towards the main environmental impacts of the life cycle of solar PV systems.


2020 ◽  
Vol 4 ◽  
pp. 36-47
Author(s):  
Quyen Le Luu ◽  
Binh Van Doan ◽  
Ninh Quang Nguyen ◽  
Nam Hoai Nguyen

In Vietnam, energy generation accounts for more than half of the national greenhouse gas (GHG) emission. This sector has tremendous potential for emission reduction through the exploitation of renewable energy resources. This study examines the environmental impact of grid-connected solar and wind power in Vietnam, with a focus on GHG emissions. A life cycle assessment was conducted for these purposes. A case study of an integrated 50 kWp solar photovoltaics (PV) and 6 kW wind power model in the Central Highland of Vietnam was selected to illustrate the environmental impact of solar and wind power in Vietnam. The environmental inflows and outflows were quantified from raw material extraction for manufacturing components of the model, such as the panels, turbines, inverters and subsidiary components, to the end of life of the model. OpenLCA software was used for the calculation, with background data from publications and free LCA databases. The results obtained indicate that the life cycle GHG emissions are 20 gCO2e/kWh of solar PV, 3.7 gCO2e/kWh of wind power, and the total emission of the model during its 25-year lifetime is 38.28 tCO2e. If solar and wind power replace grid power, the lifetime emission reduction of the integrated solar and wind power model would be 1.8 thousand tCO2e.


2020 ◽  
Vol 13 (11) ◽  
pp. 4280-4290 ◽  
Author(s):  
Carlos F. Blanco ◽  
Stefano Cucurachi ◽  
Frank Dimroth ◽  
Jeroen B. Guinée ◽  
Willie J. G. M. Peijnenburg ◽  
...  

By requiring less materials, multijunction III–V/silicon photovoltaic cells may further reduce the life cycle environmental impacts of solar PV.


2021 ◽  
Vol 9 (2) ◽  
Author(s):  
Mohammad Abotalib ◽  
◽  
Jaya Jacob ◽  
Hamid Alhamadi ◽  
Dhary Alkandari ◽  
...  

In Kuwait, electricity is generated from two primary sources, heavy fuel combustion and natural gas combustion. As Kuwait relies mainly on petroleum-based products for electricity generation, identifying and understanding the environmental and energy trade-off of such operations should be carefully investigated. The life cycle assessment (LCA) tool is applied to identify the potential environmental impacts and energy performance of electricity generation under three scenarios, by considering the material flow in various stages involved such as raw-material extraction, transportation, and operations. The three scenarios investigated represent current and futuristic electricity grid mixes. The analysis of four indicators consists of two environmental and two energy indicators per one kWh of the electricity generated. The environmental indicators examined are global warming potential (GWP) and water consumption (WC), whereas the energy indicators target cumulative energy demand (CED) and net energy ratio (NER). Results indicate that one kWh of electricity generated would have a GWP (0.63-0.77) kg CO2-eq, mainly from the fuel combustion process, WC (0.0013-0.0015) m3 of water, about 68% from cooling processes, CED (9.9-10.7) MJ, and NER (0.34-0.39). The variation in results depends on the scenario investigated. It can be observed from the analysis that introducing solar photovoltaic and wind to the electricity grid mix improves the environmental and energy performance of Scenarios 3, where 15% of the electricity generated from renewables (10% solar PV and 5% wind) corresponds to a further decrease in LCA results.


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